Senior AI Application Developer

2 days ago

Kannur, Kerala, India beBeeArtificialintelligence Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
AI Application Developer

We are seeking a skilled and experienced developer to join our team and contribute to the design, development, and production of AI applications.

The successful candidate will play a key role in evaluating models, training, and fine-tuning them to ensure optimal performance. They will also be responsible for developing Gen AI-based solutions for customers, collaborating with engineers and stakeholders to deliver projects successfully.

Key Responsibilities:

  • Evaluate machine learning models and perform necessary tuning to ensure optimal performance.
  • Design, develop, and operationalize existing ML models by fine-tuning and personalizing them.
  • Collaborate with data scientists and engineers to analyze and preprocess datasets for prompt development, including data cleaning, transformation, and augmentation.
  • Conduct thorough analysis to evaluate LLM responses, iteratively modify prompts to improve LLM performance.
  • Develop scalable machine learning pipelines on GCP or equivalent cloud platforms involving data warehouses, machine learning platforms, dashboards, or CRM tools.

Requirements:

  • At least 3 years of experience in designing & building AI applications for customers and deploying them into production.
  • At least 5 years of software engineering experience in building secure, scalable, and performant applications for customers.
  • Experience with document extraction using AI, conversational AI, vision AI, NLP, or Gen AI.
  • Expertise in Python, NumPy, Pandas, and various ML libraries (e.g., XGBoost, TensorFlow, PyTorch, Scikit-learn, LangChain).
  • Familiarity with Google Cloud or any other cloud platform and its machine learning services.
  • Excellent communication, collaboration, and problem-solving skills.

Desirable Skills:

  • Google Cloud Certified Professional Machine Learning or TensorFlow Certified Developer certifications or equivalent.
  • Experience of working with one or more public cloud platforms - namely GCP, AWS, or Azure.
  • Experience with AutoML and vision techniques.

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